I built a virtual shop bot for Bamba Tech & Gaming Hub today Now customers can access phone repairs, console mods, games, accessories, technician bookings, and order tracking faster all inside Telegram. No stress. No long talk. Just tap, book, and get served. Need phone repair, gaming support, console modding, or accessories in Awka? Patronise Bamba Tech & Gaming Hub today. Fix it. Mod it. Play it. Start here: t.me/BambaShop_bot

OmG. Jist about to test it out

Read through my some of my reasons for being super bullish on Cocoon. Cocoon is Telegram's groundbreaking decentralized AI infrastructure built on TON, it is now operational and delivering real confidential AI inference. It will interest you to know GPU owners are already earning GRAM rewards by powering private AI workloads, turning idle hardware into a revenue stream in a privacy-first marketplace. This is how it works 👇 GPU Owners Rent out compute and earn GRAM (95% worker fee share). Developers are not left out as they access cheap, censorship-resistant AI inference (supporting models like DeepSeek, Qwen, and more). Users now enjoy Private AI experiences. NO LEAKS 😃 This is just to say a few, there is so much more to Cocoon and that's why you can not but grab a bag of Cocoon meme, load up some 3D Render Egg and be positioned. I am Precursor, I speak Futuristically...

Just completed my KYC with @MyTier ✅ The team has been building steadily and despite the pushback around the KYC date, it's good to see it finally rolling out. The flow is clean: enter your details, upload your ID, and an automatic liveness check wraps it up. Done in under 15 mins. One thing worth flagging though currently only driver's license is accepted. For people in my region, that's a real barrier. A lot of eligible users simply don't have one yet. Team should consider adding Voter's Card (PVC) as an accepted ID. It's one of the most widely held government IDs in Nigeria and would open the door for a lot of people who qualify by age but get locked out by ID type. Small fix. Big impact.

So finally @Ari_Wallet_ is dead..

Could we just leave it at Ton?

I don't know wgere the algorithm is picking this from but i like what i am seeing.

Day 7 update: Bamba Ops is demo-ready. For the past 7 days, I’ve been building a Telegram-based AI assistant for Web3 operations. The goal was simple: Can I use an AI agent to turn Web3 research into a repeatable workflow from my phone? Here’s what got built: Day 1: Telegram bot came alive Day 2: Structured /research output Day 3: Live research with Tavily Day 4: /save to CSV tracker Day 5: /list and /report Day 6: End-to-end workflow test Day 7: Final verification Final command list: /start /help /research <project> /live <project> /save <project> /list /report Current workflow: /live Monad → research /save Monad → save record /list → view tracked projects /report → summarize tracker Final verification passed: * bot.py exists * .env exists but secrets are protected * tracker CSV exists * all 7 commands are implemented * syntax check passed * bot starts successfully * tracker has saved projects: Monad, Hyperliquid, Grass This started as a small experiment. Now it is a working AI-assisted Web3 operations system inside Telegram. Not perfect. But functional, repeatable, and ready for a demo. Big lesson: AI agents become powerful when they stop being chat tools and start becoming workflow operators.

GM CT Summary of $COCOON COMMUNITY space 🥚You ever wondered why COCOON AI COMMUNITY is the most active on $TON and @telegram ECOSYSTEM ? Here is why👇 Study cocoon AI Study cocoon COMMUNITY Study PAVEL DUROV Be the EGG Be DECENTRALIZED Be $COCOON Disclaimer: Not AI generated

Day 6 update: Bamba Ops passed its first end-to-end workflow test. The goal today was not to add a shiny new feature. The goal was to test the full Web3 operations loop across multiple projects. Test flow: /live Monad /save Monad /live Hyperliquid /save Hyperliquid /live Grass /save Grass /list /report Result: * Monad saved * Hyperliquid saved * Grass saved * Tracker stayed clean * /list showed multiple projects * /report summarized the tracker * Bot stayed stable * No errors This means Bamba Ops can now do more than reply to prompts. It can research, save, list, and report from inside Telegram. Current workflow: Live research → saved record → project list → operations report Day 6 lesson: An AI agent becomes more useful when it can run a repeatable workflow, not just answer one-off questions.

Day 5 update: Bamba Ops can now read from its tracker. Before today, the bot could: - Research a Web3 project - Run live source-based checks - Save a project record into CSV Today I added: /list /report Now Bamba Ops can show saved projects and generate a simple operations report from the tracker. Current flow: /live Monad → research /save Monad → save record /list → show tracked projects /report → summarize tracker This is a big step. The agent is no longer only responding to commands. It is starting to behave like a lightweight Web3 operations dashboard inside Telegram. Day 5 lesson: Saving data is useful. But being able to retrieve and summarize that data is what turns an AI bot into an operations system.

Day 4 complete: /save Monad → Saved to Bamba Web3 Ops Tracker ✅ The bot now turns Web3 research into a saved tracker record.

Day 3 update: Bamba Ops now has live research. Day 1: The Telegram bot came alive. Day 2: I improved the /research prompt so the bot stopped inventing links and started marking unknown fields as “Needs official verification.” Day 3: I added a live research layer using Tavily. Now I can run: /live Monad And Bamba Ops returns: - Project snapshot - Source links found - What to verify - Operations checklist - Airdrop/testnet signals - Risk notes - Notes to save later - Follow-up action - X content idea This is the biggest upgrade so far. The agent is moving from: AI response → structured checklist to: Live search → source links → Web3 operations report Still not perfect. Next refinement is to separate “sources found” from “sources verified” more clearly. But Day 3 goal is complete: Bamba Ops can now use live web research inside Telegram.

Bamba Agent Lab update 🧪 All 3 agents are now connected through Tailscale: ✅ Hercules — Android / Telegram agent ✅ Hype — System 1 builder / orchestrator ✅ Kairo — System 2 tester / validator The dashboard is live, and agents can now post status updates into one shared visual workspace. This started as “can I run an agent on Android?” Now it’s becoming a multi-device AI ops lab. Next: heartbeat system, live status tracking, and visual task movement. We are building. 🚀

New feature idea for my agent setup: Bamba Agent Lab 🧪 I now have multiple agents connected through Tailscale: - Hercules — my Android/Telegram agent - Hype — Hermes agent on System 1 - Kairo — agent on System 2 The next build is a visual multi-agent desk where I can see them working inside one shared workspace. Not just logs. A live dashboard where each agent has a role, status, task, and visual position: - coding desk - testing bench - command station - research area - idle/sleep zone - error corner The goal is simple: Make agents feel less invisible. I want to see what they are doing, where they are working, and how they collaborate across devices. Hype builds. Kairo tests. Hercules reports from Android. All connected privately through Tailscale. This is slowly becoming my personal AI ops lab. Bamba Agent Lab is next. 🚀 Inspo from @AlexFinn

Tonight’s build log: I started with one goal: move my AI agent setup from Android to my laptop. Ended up building a full operator stack. ✅ Fresh Windows setup ✅ Git, Python, Node & npm installed ✅ WSL Ubuntu configured ✅ BIOS virtualization fixed ✅ Hermes Agent installed ✅ OpenAI Codex connected ✅ Telegram gateway linked ✅ Laptop agent responding from Telegram Android agent = Hercules Laptop agent = Hype Guide beside me = Atlas Big lesson: learning tech hits different when you build a real project step by step. This is the future of learning: AI guiding you while you build with AI.

Hermes running on Android has been cool. I started by testing my AI agent, Hercules, directly from my phone through Telegram messaging, memory, terminal access, task handling, and session context all worked. Now I’m about to launch the laptop version. I already have Tailscale installed, so the next test is to see how smoothly I can connect everything together across devices. Android = portable agent Laptop = stronger workspace Telegram = control layer Tailscale = private network bridge Hermes = the agent framework The goal is not just to “run an AI bot.” The goal is to build a personal operations agent that can move between devices, remember context, execute tasks, and support real workflows from anywhere. Next phase: Hercules on laptop Android. Time to test how far this setup can go.

Day 2 update: Bamba Ops is getting sharper. Yesterday the goal was simple: Make the Telegram bot respond. Today’s goal was different: Make the output useful for real Web3 operations. I updated the /research prompt so the bot now returns an 8-section operations report: 1. Project Snapshot 2. What To Verify 3. Operations Checklist 4. Airdrop/Testnet Checklist 5. Risk Notes 6. Notes To Save Later 7. Follow-up Action 8. X Content Idea Big improvement: The bot no longer invents official links or makes confident claims without verification. It now marks unknown fields as: “Needs official verification.” That matters in Web3 because fake links, fake airdrops, and wallet drainers are real risks. Day 2 lesson: A useful AI agent is not just one that gives answers. It should know when to slow down, verify, and structure the next action. Day 3: add a live research layer so Bamba Ops can work with verified sources.

Most people think AI agents are just chatbots. Sammy changed my mind completely. For 7 days, I ran an AI agent built on @browser_use and by the final days, it was handling real work I used to do manually. The one that impressed me most? A device unlock tracker I built on Notion. Sammy was logging devices, tracking progress, and managing records smoothly, without me babysitting every step. Then life happened. Got a job oh, and I'm still a software technician. Things moved fast. Didn't get to document everything the way I wanted. But here's what I know: ✅ The workflow was clean ✅ The Notion integration was smooth ✅ Codex as the AI model gave it real clarity in coding tasks ✅ The agent handled more than I expected One thing that surprised me, the credit system after the trial. Never encountered it during the free period. Now I'm curious how many credits we actually burned building everything we did in 7 days 😅 Still, I'm paying for premium. That's how impressed I am. If you're sleeping on AI agents, you're leaving real productivity on the table. What would YOU automate first if you had an agent running 24/7? 👇 Drop it below.

Not me Clearing my Bookmarks and adding 20 more.

Day 1 update. Bamba Ops is alive. Today I connected the Telegram bot, fixed the environment, handled dependency errors, corrected the token setup, and got the first command working. Test: /research Monad Output: - Project summary - Things to verify - Operations checklist - Risk notes - Deadline/reminder field - X content idea This is still an MVP. The output is not perfect yet, but the important part is that the workflow now works: Telegram command → AI response → Web3 operations structure Built from my phone using Termux Hercules, the AI agent I hosted on Android. Day 1 lesson: The first goal is not perfection. The first goal is to make the system respond. Day 2: improve the research prompt and make the output more useful for real Web3 operations.